Metrics tools

As journalists, we gather all the relevant information and perspectives to report a story fairly, accurately and completely. We can and should do the same to decide what stories to cover, how to cover them, whom they are for and how they related to ebbing and flowing reader interests.

Readership data provide us one vital, if raw, view to address those questions. This category is all about how the metrics tools work. Check out the Audience Engagement category for resources on how to apply the metrics tools to make your best decisions, both in the moment and over the long term.

Improving our relationship with readers

A primer on the the audience funnel. First, we will do an audience health checkup and what we can do to help move readers through the loyalty funnel. Then we explore what a reader NEEDS from our content  – and making sure we deliver.

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  • All you need to know about Parse.ly

    In this webinar, reporters receive an overview of all the things Parse.ly can help them do.

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  • Analytics (for digital editors)

    How can you disseminate the numbers, while adding actionable items? We look at how the numbers can help drive major projects, and what you can be bringing to your news meetings.

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  • Analytics (for editors)

    As an editor, what trends should you be looking for to steer coverage? How can you use analytics to grow your audience? This webinar goes in depth on these and more.

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  • Analytics (for reporters)

    A reporter’s understanding of analytics: This is a basic overview of how to use Parse.ly, Google Analytics and others.

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  • News audience habits in the time of coronavirus

    What we’ve learned about readers’ interests in Covid-19 coverage in the early stage.

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  • Parse.ly for reporters

    How long are readers spending with your stories? How did they get there? Where do they go when they’re done reading? What do they crave more of, or less of? […]

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  • Parse.ly for editors

    This overview of Parse.ly will help editors and reporters alike analyze how their content is performing with readers.

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  • Parse.ly for data nerds

    In the weeds for BI types.

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